{"id":"W2893404593","doi":"","title":"Second Prize: Coded Conflict: Algorithmic and Drone Warfare in US Security Strategy","year":2018,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mainstream; Drone; Rhetoric; Normative; Law and economics; Sketch; Terrorism; Power (physics); Political science; Political economy; Law; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00201166,0.0001458275,0.0004424953,0.00009521176,0.0004928246,0.00002833057,0.0001339538,0.0001293187,0.0001244281],"category_scores_gemma":[0.0001448103,0.0001198096,0.00004448349,0.0002165427,0.001011847,0.0003604744,0.00004303203,0.0003448862,0.000001711313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007453986,"about_ca_system_score_gemma":0.0003419805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047999,"about_ca_topic_score_gemma":0.03237236,"domain_scores_codex":[0.9982841,0.0003642846,0.0004995053,0.0001823095,0.0002985988,0.000371212],"domain_scores_gemma":[0.9990031,0.000196479,0.0001442308,0.00007163984,0.000345074,0.0002395472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001258688,0.0010461,0.05594069,0.001361109,0.0012664,0.0009089971,0.6743725,0.00001048279,0.0001760382,0.2313044,0.01346851,0.01888612],"study_design_scores_gemma":[0.004015551,0.003593181,0.08803243,0.0003977142,0.00008992341,0.0001736799,0.5692387,0.000229872,0.00003147889,0.2491401,0.08441828,0.0006390978],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238274,0.06130872,0.000001060782,0.002023707,0.0002801543,0.0001497944,0.00002379561,0.000008305705,0.01237708],"genre_scores_gemma":[0.9677002,0.03139312,0.0000958797,0.0002537817,0.0004509409,0.000001669541,8.13588e-7,0.000003604686,0.00009992653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051338,"threshold_uncertainty_score":0.9852843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.061625132036585,"score_gpt":0.3523711320692119,"score_spread":0.290746000032627,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}